Generalization properties of doubly stochastic learning algorithms
From MaRDI portal
Publication:1635837
DOI10.1016/j.jco.2018.02.004OpenAlexW2792524005MaRDI QIDQ1635837
Publication date: 1 June 2018
Published in: Journal of Complexity (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1707.00577
Nonparametric regression and quantile regression (62G08) Learning and adaptive systems in artificial intelligence (68T05)
Related Items (3)
Numerical solution of fractional differential equations with temporal two-point BVPs using reproducing kernal Hilbert space method ⋮ Capacity dependent analysis for functional online learning algorithms ⋮ Experiential and Stochastic Learning Algorithms Based on the Probability of a Fuzzy Event and Modified Fuzzy Metric Distance in Intelligent Robotic Part Micro-Assembly
Uses Software
Cites Work
- Unnamed Item
- Erratum to: ``Minimizing finite sums with the stochastic average gradient
- Oracle inequalities for support vector machines that are based on random entropy numbers
- Online gradient descent learning algorithms
- Fully online classification by regularization
- Optimal rates for the regularized least-squares algorithm
- Online Learning as Stochastic Approximation of Regularization Paths: Optimality and Almost-Sure Convergence
- Learning Theory
- Support Vector Machines
- On the Generalization Ability of On-Line Learning Algorithms
- Acceleration of Stochastic Approximation by Averaging
- Optimal Rates for Multi-pass Stochastic Gradient Methods
- Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression
- Online Learning with Kernels
- On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions
- A Stochastic Approximation Method
This page was built for publication: Generalization properties of doubly stochastic learning algorithms